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REVIEW: RESEARCH QUESTION 1. WHY DO PATIENTS SEEK OSTEOPATHIC - PDF document

AGENDA REVIEW OF MATERIAL HYPOTHESIS/RESEARCH QUESTION P-VALUE STUDY DESIGNS VARIABLES AND MEASUREMENTS SAMPLE SIZE DETERMINATION CHOOSING MEASUREMENT INSTRUMENT/TOOL QUASI-EXPERIMENTAL DESIGNS RELIABILITY STUDIES


  1. AGENDA • REVIEW OF MATERIAL • HYPOTHESIS/RESEARCH QUESTION • P-VALUE • STUDY DESIGNS • VARIABLES AND MEASUREMENTS • SAMPLE SIZE DETERMINATION • CHOOSING MEASUREMENT INSTRUMENT/TOOL • QUASI-EXPERIMENTAL DESIGNS • RELIABILITY STUDIES REVIEW: RESEARCH QUESTION 1. WHY DO PATIENTS SEEK OSTEOPATHIC TREATMENT? 2. DOES OSTEOPATHIC INTERVENTION X EFFECTIVELY REDUCE PATIENTS’ PAIN AFTER 5 SESSIONS? 3. IS THERE AN ASSOCIATION BETWEEN THE AGE OF PARTICIPANTS AND THE NUMBER OF OSTEOPATHIC SESSIONS ATTENDED? 4. IS THERE A DIFFERENCE BETWEEN OSTEOPATIC INTERVENTION X AND INTERVENTION Y IN INCREASING THE PARTICIPANTS’ QUALITY OF LIFE? 5. HOW RELIABLE IS A PARTICULAR TECHNIQUE IN DIFFERENTIATING EMPTY VS FILLED BLADDER? 6. IS THERE A CONSENSUS IN PUBLISHED STUDIES REGARDING THE EFFECTIVENESS OF INTERVENTION X? 1

  2. REVIEW: HYPOTHESIS Hypothesis = Research Question + Measurement Tool + “p ≤ 0.05” Examples of Hypothesis formulation: 1. Osteopathic treatment will significantly reduce the redness associated with acne as measured by infra-red photography, p ≤ 0.05. 2. Five sessions of osteopathic intervention X will result in significant reduction in patients’ pain as measured by Visual Analog Scale, p ≤ 0.05. 3. Three trained osteopathy students at the end of their curriculum could achieve at least moderate agreement on osteopathic sacral palpatory diagnostic tests, evaluated using Fleiss Κ (Kappa) statistics, p ≤ 0.05. 4. Osteopathic treatment X is more effective than osteopathic intervention Y in increasing the participants’ quality of life as measured by WHOQOL questionnaire, p ≤ 0.05. REVIEW: HYPOTHESES Null Hypothesis (Ho): Osteopathic treatment will NOT significantly reduce the redness associated with acne as measured by infra-red photography, p > 0.05. Alternative Hypothesis (Ha): Osteopathic treatment will significantly reduce the redness associated with acne as measured by infra-red photography, p ≤ 0.05. p < 0.05 0.05 p > 0.05 Failed to reject the null hypothesis. Reject null and accept an alternative hypothesis. There is insufficient evidence to conclude that There is statistically significant reduction of acne skin osteopathic treatment is effective. redness as a result of osteopathic treatment. p-value UNDERSTANDING RESEARCH ARTICLES _____________________________________ Source: A.M. Cuccia et al. Osteopathic manual therapy versus conventional conservative therapy in the treatment of temporomandibular disorders: A randomized controlled trial. Journal of Bodywork & Movement Therapies (2010) 14, 179-184 https://pdfs.semanticscholar.org/849d/3c122af15a27b3dc59de93a76dde196e52a4.pdf 2

  3. REVIEW: STUDY DESIGNS Acceptable Forms of Student Research: 1. Experimental and quasi-experimental research 2. Reliability, validity, and palpation studies 3. Technique studies 4. Case series studies 5. Fundamental studies - investigative but non-experimental 6. Qualitative studies REVIEW: EXPERIMENTAL (RCT) RESEARCH QUESTION: IS THERE A DIFFERENCE BETWEEN OSTEOPATHIC INTERVENTION X AND INTERVENTION Y IN INCREASING THE PARTICIPANTS’ QUALITY OF LIFE? post Post-intervention X R Intervention X quality of life pre Pre-intervention quality of life post Post-intervention Y quality of life R O X 1 O Intervention Y R O X 2 O REVIEW: QUASI-EXPERIMENTAL (CROSSOVER) post post Post-intervention Y Post-intervention X quality of life quality of life R Intervention X Intervention Y pre Pre-intervention quality of life post post Post-intervention Y Post-intervention X quality of life quality of life Intervention Y Intervention X R O X 1 O washout O X 2 O washout R O X 2 O O X 1 O 3

  4. REVIEW: QUASI-EXPERIMENTAL (WITHIN SUBJECT) RESEARCH QUESTION: DOES OSTEOPATHIC INTERVENTION X EFFECTIVELY REDUCE PATIENTS’ PAIN AFTER 5 SESSIONS? pre post Pre-intervention Post-intervention VAS pain score Intervention X VAS pain score O X O REVIEW: RELIABILITY STUDY RESEARCH QUESTION: HOW RELIABLE IS A PARTICULAR TECHNIQUE IN DIFFERENTIATING EMPTY VS FILLED BLADDER? % % correctly identified bladders Osteopath Osteopathic Inter-rater reliability Practitioners Intra-rater reliability Technique (raters) REVIEW: VARIABLES Variable is a thing that changes in experiment. A variable is any factor, trait, or condition that can exist in differing amounts or types. Independent Variable –the variable that is changed or controlled in a scientific experiment. Usually the Treatment: technique, global or regional osteopathic intervention vs control. Dependent Variable –the outcome of interest, what we are hoping to change or alter. Variable type: Numerical(Age) or Categorical(Gender, Group) 4

  5. REVIEW: MEASUREMENTS Measurement is a variable that is being assessed (quantified / measured) using a particular technique, tool or instrument. SAMPLE SIZE DETERMINATION Level of significance (Type I error) – chance of finding effect if it does not exist Effect size – expected amount of change in dependent variable (treatment effect) Statistical power – credibility of the test, chance of finding effect if it does exist Type (family) of statistical test Rule-of-thumb depends on data being collected depends on analysis being conducted One- or two- tailed depends on hypothesis wording Sample Level of significance (α) size (n) 0.05 for most social/business studies Effect size (d) estimated from large studies Desired power (1-β) typically 80% is considered acceptable http://www.psycho.uni-duesseldorf.de/abteilungen/aap/gpower3/download-and-register HOW DO I KNOW EFFECT SIZE? Approaches to determine effect size: n Previous (published) studies with similar research question n similar Population, Intervention, Outcome n look for numbers to quantify effect size (mean, standard deviation, %) n Pilot study conducted with small group of participants ( n = 12) n Based on practical significance n Clinically important change, Minimal Important Difference (MID) n Assume to be medium effect ( Cohen’s d = 0.5) 5

  6. FINDING PUBLISHED STUDIES • GOOGLE SEARCH (START WITH GOOGLE SCHOLAR) • PREVIOUS YEARS CCO STUDENTS’ THESIS • THE JOURNAL OF THE AMERICAN OSTEOPATHIC ASSOCIATION HTTP://JAOA.ORG/ • INTERNATIONAL JOURNAL OF OSTEOPATHIC MEDICINE HTTP://WWW.JOURNALOFOSTEOPATHICMEDICINE.COM/ • THE JOURNAL OF ALTERNATIVE AND COMPLEMENTARY MEDICINE HTTPS://WWW.LIEBERTPUB.COM/LOI/ACM • INTERNATIONAL JOURNAL OF OCCUPATIONAL MEDICINE AND ENVIRONMENTAL HEALTH HTTP://IJOMEH.EU/ • INTERNATIONAL JOURNAL OF PHYSIOTHERAPY HTTPS://WWW.IJPHY.ORG/ SAMPLE SIZE – RULES-OF-THUMB Minimum 12 Final notes on sample size: Experimental: For multiple groups, aim for balanced design (equal n Quasi-Experimental: Minimum 16 number of participants in each group). Minimum 40 n Account for non-response rate during recruitment. Reliability Studies: Account for attrition/drop-out rate during the study. n Minimum 24 Technique Studies: Minimum 6 Case Series: SAMPLE SIZE DETERMINATION EXAMPLE Research Question: A global osteopathic treatment will increase urinary pH levels, as measured using urine test strips. n crossover design n “increase” → one-tail test n literature search → Buscemi et al. (2015) study reported effect size n G*Power calculation → 24 subjects n 10% dropout rate → 27 subj to recruit Reference: Buscemi, A., Carbone, J., Tacchi, M., Buttafuoco, S., Rapisarda, A., Perciavalle, V., & Coco, M. (2015). Changes of urine pH after the compression of the fourth ventricle. Medicina, Ricerche, Scienza della vita, Retrieved from http://www.scienza-ricerche.it/ 6

  7. STUDENTS’ RESEARCH n Proposal (PICO statement) ¨ P = patient/problem (research question) ¨ I = intervention (experiment design) ¨ C = comparison (control) ¨ O = outcome (validated instrument to measure) MEASUREMENT INSTRUMENT/TOOL Examples: Strain → Strain gauge Angle → Goniometer (manual or digital) Acceleration (3-axis) → Accelerometer (Fitbit or less expensive alternatives) Ground reaction force → Force platform/plate Object thickness → Caliper Time interval → Stopwatch (iPhone has one built-in) Weight → Scale Clinical measurements (pulse, blood pressure, temperature, respiratory rate) Ensure sufficient level of accuracy/precision and range MEASUREMENT INSTRUMENT/TOOL Examples: Tinnitus symptoms → Tinnitus Handicap Inventory (THI) Quality of life → Quality of Life Scale (QOLS) questionnaire Pain → Visual Analog Scale (VAS) Feet functioning → Foot and Ankle Survey (FAOS) or Foot Functioning Index (FFI) Good instrument is both Reliable and Valid (validated). 7

  8. INSTRUMENT RELIABILITY AND VALIDITY Not valid and not reliable Valid, but not reliable Reliable, but not valid Reliable and valid INSTRUMENT RELIABILITY AND VALIDITY Reliability: Validity: Internal consistency reliability (Cronbach’s α > 0.8) Correlation with “gold standard” instrument (r > 0.7) Test-retest reliability correlation (r > 0.7) Overall accuracy with respect to actual state Inter-rater (inter-observer) reliability (Kappa > 0.4 or (diagnostic accuracy, sensitivity, specificity, PPV, interclass correlation coefficient > 0.7) NPV) < 0 0.00-0.20 0.21-0.40 0.41-0.60 0.61-0.80 0.81-1.00 Poor Slight Fair Moderate Substantial Almost perfect QUASI-EXPERIMENTAL (CROSSOVER) post post Post-intervention X Post-intervention Y quality of life R quality of life Sham Intervention pre Pre-intervention quality of life post post Post-intervention Y Post-intervention X quality of life quality of life Intervention Sham R O O washout O X O washout R O X O O O 8

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